Posted by **readerXXI** at April 16, 2018

English | 2017 | ISBN: 1138627828 | 334 Pages | ePUB | 6.5 MB

Posted by **ksveta6** at Aug. 16, 2017

2017 | ISBN: 1138627828 | English | 334 pages | PDF | 23 MB

Posted by **AlenMiler** at March 25, 2018

English | 14 Aug. 2014 | ISBN: 1439887330 | 286 Pages | PDF | 42 MB

Posted by **AvaxGenius** at April 14, 2018

English | EPUB | 2014 | 536 Pages | ISBN : 3319117335 | 3.95 MB

This textbook is an approachable introduction to statistical analysis using matrix algebra. Prior knowledge of matrix algebra is not necessary. Advanced topics are easy to follow through analyses that were performed on an open-source spreadsheet using a few built-in functions. These topics include ordinary linear regression, as well as maximum likelihood estimation, matrix decompositions, nonparametric smoothers and penalized cubic splines.

Posted by **Rare-1** at Oct. 3, 2017

ISBN: 1452205663 | 2015 | PDF | 816 pages | 13.70 MB

Posted by **roxul** at Feb. 7, 2017

2010 | ISBN-10: 1420091557 | 316 pages | PDF | 2 MB

Posted by **step778** at Nov. 2, 2016

1993 | pages: 194 | ISBN: 0412300400 | PDF | 4,1 mb

Posted by **arundhati** at July 3, 2016

2010 | ISBN-10: 1420091557 | 316 pages | PDF | 2 MB

Posted by **tanas.olesya** at March 22, 2016

English | 28 Nov. 2001 | ISBN: 1584881658 | 221 Pages | PDF | 1 MB

Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods.

Posted by **ksveta6** at Nov. 21, 2015

2015 | ISBN: 1118730038 | English | 472 pages | PDF + EPUB | 7 MB + 14 MB